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Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
Fiche De Poste
As the Lead AI/ML Engineer/Data Scientist, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions.
Key Responsibilities
en CDI
Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
Fiche De Poste
As the Lead AI/ML Engineer/Data Scientist, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions.
Key Responsibilities
- Lead the design and development of machine learning models and AI solutions to solve business problems.
- Select appropriate machine learning or deep learning models based on problem context and data availability.
- Develop, train, test, and validate models using state-of-the-art methodologies and frameworks.
- Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets.
- Engineer features and performs exploratory data analysis to ensure data quality and model readiness.
- Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow).
- Implement models into production environments, ensuring robustness, scalability, and maintainability.
- Develop and maintain CI/CD pipelines for seamless model integration and deployment.
- Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics.
- Document model architecture, development processes, and performance evaluations thoroughly.
- Share insights and technical know-how with team members to foster a culture of continuous learning and improvement.
- Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices.
- Analyze large datasets to extract insights and improve model performance.
- Ensure compliance with data privacy and security regulations in all AI/ML initiatives.
- Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.
- Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects.
- Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
en CDI
Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.
Key Skills
Ranked by relevance
ai
machine learning
data analysis
deep learning
tensorflow
pytorch
python
cloud
java
cicd
aws
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- Posted
- Feb 15, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Chennai
- Company
- UPS
Industries
Information Technology & Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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View Job Details
Related
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